Design and validation of a predictive model for determining the risk of developing fibromyalgia.

OBJECTIVES: Fibromyalgia is a prevalent disease of unknown aetiology and is difficult to diagnose. Despite the availability of the American College of Rheumatology criteria for diagnosis, it continues to be a challenge in the field of primary health care in terms of identifying individuals with susceptibility to developing the disease. The aim of this study is to design and validate a predictive model of fibromyalgia in subjects with a history of chronic pain. METHODS: This multicentre observational retrospective cohort study was performed on patients aged >18 years, who visited four primary health centres between 2017 and 2020, with a diagnosis of fibromyalgia or arthritis. The Bootstrapping resampling method was used for the validation of the model. RESULTS: A total of 198 subjects with fibromyalgia (93 with osteoarthritis, 20 with other types of arthritis, 4 with rheumatoid arthritis) and 120 without fibromyalgia (116 with osteoarthritis, 23 with other types of arthritis, 7 with rheumatoid arthritis) participated in the study. The predictive factors of the final model were self-reported age at onset of symptoms, first-line family history of neurological diseases, exposure to levels of stress, history of post-traumatic acute emotional stress, and personal history of chronic widespread pain prior to diagnosis, comorbidity, and pharmacological prescription during the year of diagnostic confirmation. The predictive capacity adjusted by Bootstrapping was 0.972 (95% CI: 0.955-0.986). CONCLUSIONS: The proposed model showed an excellent predictive capacity. The risk calculator designed from the predictive model allows health professionals to have a useful tool to identify subjects at risk of developing fibromyalgia.

Muscle function deterioration in patients with haemophilia: Prospective experience from Costa Rica.

INTRODUCTION: In haemophilia, recurrent joint bleeds are responsible for the development of chronic joint damage, because blood induces biochemical changes in joint structures. Joint degeneration is a long process, and structural damage is often preceded by joint dysfunction, which is represented by quantitative and qualitative changes in the contraction pattern of muscles around the joints. Muscle function in patients with haemophilia is still poorly investigated. AIM: The aim of this 2-year prospective study was to assess the changes in muscle function of lower limbs in a group of patients affected with haemophilia in San José, Costa Rica. METHODS: Muscle function of lower limbs was assessed by means of surface electromyography (sEMG) accomplished at study enrolment and after 2 years of follow-up. Gluteus medius, vastus medialis, biceps femoris, gastrocnemius and tibialis anterior were examined. All patients underwent concurrent clinical examination using Haemophilia Joint Health Score (HJHS). RESULTS: Sixty patients aged 2-43 years with severe haemophilia underwent clinical and sEMG evaluation. Thirty-two patients (53%) had target joints. sEMG parameters were altered in all patients and were not correlated to the presence of target joints and/or an abnormal HJHS. Muscle function deterioration was observed after 2 years of follow-up despite an unmodified HJHS. CONCLUSIONS: Muscle function of lower limbs as detected by means of sEMG was impaired in patients with haemophilia irrespective of the presence of overt joint damage. sEMG is a simple and sensitive assessment tool able to detect muscle dysfunction and so favouring the implementation of early rehabilitation therapy.

[Analysis of muscle function with kinetic superficial EMG in children with haemophilia - recognizing subclinical changes, establishing individual therapy, quality control]. / Muskelfunktionsmessung mit kinetischem Oberflächen-EMG bei Kindern mit Hämophilie. Erkennung subklinischer Veränderungen, Etablierung individueller Therapie, Qualitätskontrolle.

UNLABELLED: Electromyography (EMG) measures muscle electricity. It depends on muscle contraction and central motor control. Muscles react very sensitive on external signals (e. g. bleeding), The resulting changes can be shown in EMG. PATIENTS, METHODS: A first study included 51 children and young adults from Costa Rica. They underwent a clinical examination and EMG of the hip, knee and ankle joints. Resting muscle tone, maximal isometric contraction and three typical isotonic movements of the joints were measured. First step of analysis was to characterize typical pathogenic changes in the muscles and to find a corresponding physical therapy to minimize these changes. RESULTS: It showed that EMG is a good marker for muscle condition. It helps to individualize therapy and improve effectivity of physical and physiotherapeutic treatment of the locomotive system of children and young adults with hemophilia. It can help to recognize early subclinical changes and to control the outcome of therapeutic modalities.